Paper
5 November 1993 Use of Feynman diagrams in large-scale neural networks with nonlinear behavior
Author Affiliations +
Abstract
A new proposal to the study of large-scale neural networks is reported. It is based on the use of similar graphs to the Feynman diagrams. A first general theory is presented and some interpretations are given. A propagator, based on the Green's function of the neuron, is the basis of the method. Application to a simple case is reported.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jose Antonio Martin-Pereda and Ana P. Gonzalez-Marcos "Use of Feynman diagrams in large-scale neural networks with nonlinear behavior", Proc. SPIE 2036, Chaos in Biology and Medicine, (5 November 1993); https://doi.org/10.1117/12.162708
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Neurons

Biology

Chaos

Medicine

Wave propagation

Neural networks

Fourier transforms

RELATED CONTENT

One more reason why neurons need to be noisy
Proceedings of SPIE (November 05 1993)
New feedback artificial neural network
Proceedings of SPIE (September 25 1998)
Delays and tori in a nonlinear model from motor control
Proceedings of SPIE (November 05 1993)
Epilepsy in a chaos neuro-computer model
Proceedings of SPIE (November 05 1993)
Bonhoeffer-van der Pol oscillator under pulse-train forcing
Proceedings of SPIE (November 05 1993)

Back to Top